Extreme Multistability and Its Incremental Integral Reconstruction in a Non-Autonomous Memcapacitive Oscillator

Extreme multistability has frequently been reported in autonomous circuits involving memory-circuit elements, since these circuits possess line/plane equilibrium sets. However, this special phenomenon has rarely been discovered in non-autonomous circuits. Luckily, extreme multistability is found in...

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Bibliographic Details
Main Authors: Bao, H. (Author), Chen, B. (Author), Chen, M. (Author), Cheng, X. (Author), Xu, Q. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02374nam a2200241Ia 4500
001 10.3390-math10050754
008 220425s2022 CNT 000 0 und d
020 |a 22277390 (ISSN) 
245 1 0 |a Extreme Multistability and Its Incremental Integral Reconstruction in a Non-Autonomous Memcapacitive Oscillator 
260 0 |b MDPI  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/math10050754 
520 3 |a Extreme multistability has frequently been reported in autonomous circuits involving memory-circuit elements, since these circuits possess line/plane equilibrium sets. However, this special phenomenon has rarely been discovered in non-autonomous circuits. Luckily, extreme multistability is found in a simple non-autonomous memcapacitive oscillator in this paper. The oscillator only contains a memcapacitor, a linear resistor, a linear inductor, and a sinusoidal voltage source, which are connected in series. The memcapacitive system model is firstly built for further study. The equilibrium points of the memcapacitive system evolve between a no equilibrium point and a line equilibrium set with the change in time. This gives rise to the emergence of extreme multistability, but the forming mechanism is not clear. Thus, the incremental integral method is employed to reconstruct the memcapacitive system. In the newly reconstructed system, the number and stability of the equilibrium points have complex time-varying characteristics due to the presence of fold bifurcation. Furthermore, the forming mechanism of the extreme multistability is further explained. Note that the initial conditions of the original memcapacitive system are mapped onto the controlling parameters of the newly reconstructed system. This makes it possible to achieve precise control of the extreme multistability. Furthermore, an analog circuit is designed for the reconstructed system, and then PSIM circuit simulations are performed to verify the numerical results. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. 
650 0 4 |a extreme multistability 
650 0 4 |a initial condition 
650 0 4 |a memcapacitive circuit 
650 0 4 |a non-autonomous 
650 0 4 |a reconstructed system 
700 1 |a Bao, H.  |e author 
700 1 |a Chen, B.  |e author 
700 1 |a Chen, M.  |e author 
700 1 |a Cheng, X.  |e author 
700 1 |a Xu, Q.  |e author 
773 |t Mathematics